Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction

HIGHLIGHTS

  • who: Suárez-Paniagua and collaborators from the (UNIVERSITY) have published the Article: Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction, in the Journal: (JOURNAL)
  • what: The authors evaluate the performance of various pooling methods (in particular max-pooling average-pooling and attentive pooling) as well as their combination for the task of DDI extraction. The experiments show that max-pooling exhibits a higher performance in F1-score (64.56%) than attentive pooling (59.92%) and than average-pooling (58.35%). The work described presents, for the first time, an interesting . . .

     

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